
TY  - JOUR
A1  - Keogh, D. U. 
A1  - Bell, K. L. 
A1  - Park, J. N. 
A1  - Cobon, D. H. 
T1  - Formative evaluation to benchmark and improve climate-based decision support for graziers in Western Queensland
JF  - Australian Journal of Experimental Agriculture
JO  - Aust. J. Exp. Agric.
Y1  - 2004
VL  - 44
IS  - 3
SP  - 233
EP  - 246
KW  - benchmarking, client focus, continuous improvement, extension planning, seasonal climate forecasts.
UR  - https://doi.org/10.1071/EA01204 
N2  - Researchers developing climate-based forecasts, workshops, software tools and information to aid grazier decisions undertook an evaluation study to enhance planning and benchmark impact. One hundred graziers in Western Queensland were randomly selected from 7 shires and surveyed by mail and telephone (43 respondents) to explore levels of knowledge and use of climate information, practices and information needs. We found 36% of respondents apply the Southern Oscillation Index to property decisions but 92% were unaware El Ni&#241;o Southern Oscillation&#39;s predictive signal in the region is greater for pasture growth than rainfall, suggesting they may not recognise the potential of pasture growth forecasts. Almost 75% of graziers consider they are conservative or risk averse in their attitude to managing their enterprise. Mail respondents (n = 20) if given a 68%, on average, probability of exceeding median rainfall forecast may change a decision; almost two-thirds vary stocking rate based on forage available, last year&#39;s pasture growth or the Southern Oscillation Index; the balance maintain a constant stocking rate strategy; 90% have access to a computer; 75% to the internet and 95% have a fax. This paper presents findings of the study and draws comparisons with a similar study of 174 irrigators in the Northern Murray&#8211;Darling Basin (Aust. J. Exp. Ag. 44, 247&#8211;257). New insights and information gained are helping the team better understand client needs and plan, design and extend tools and information tailored to grazier knowledge, practice, information needs and preferences. Results have also provided a benchmark against which to measure project impact and have influenced the team to make important changes to their project planning, activities and methods for transferring technology tailored to grazier preferences. 
ER  -

